{"id":"W1916034952","doi":"10.1139/l10-055","title":"Use of carbon dioxide stripping for struvite crystallization to save caustic dosage: performance at pilotscale operationPaper submitted to the Journal of Environmental Engineering and Science.","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ostara Nutrient Recovery Technologies (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Struvite; Stripping (fiber); Effluent; Waste management; Pulp and paper industry; Caustic (mathematics); Wastewater; Carbon dioxide; Environmental science; Chemistry; Air stripping; Sewage treatment; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005838213,0.0001131975,0.0001500458,0.0002403133,0.0001230957,0.00004996755,0.0002431858,0.00002787422,0.00006569263],"category_scores_gemma":[0.0001852325,0.0000943756,0.00003372426,0.0002873757,0.00006000408,0.0003783633,0.00006300982,0.0001484647,5.675022e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466565,"about_ca_system_score_gemma":0.0000610575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002310043,"about_ca_topic_score_gemma":0.008106411,"domain_scores_codex":[0.9989753,0.000006195981,0.0003536563,0.0000977561,0.0002955254,0.0002715463],"domain_scores_gemma":[0.9992231,0.00004608619,0.0001318395,0.0001238516,0.00003325148,0.0004418725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001371348,0.000004848872,0.01145261,0.00001268372,0.00001003541,0.000002847684,0.0004805037,0.4897655,0.4978267,0.00001054779,0.00005404658,0.0003660156],"study_design_scores_gemma":[0.0009090783,0.0007721233,0.6742676,0.000301773,0.0001324807,0.0002115669,0.0002036824,0.1748717,0.1169644,0.000003996231,0.03087847,0.0004830952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994267,0.00005064274,0.004966904,0.0001211784,0.0003561397,0.0002078625,0.00001113599,0.000001965179,0.00001718492],"genre_scores_gemma":[0.9986097,0.00002901785,0.001211412,0.00004076407,0.00006452744,0.000002384106,5.874934e-7,0.00001454359,0.00002703427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.662815,"threshold_uncertainty_score":0.4523568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006093250616423725,"score_gpt":0.1641831081127316,"score_spread":0.1580898574963079,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}